code: def compute_dr3_loss(
      state_representations, next_state_representations
  ):
      """Minimizes dot product between state and next state representations."""
      dot_products = jnp.einsum(
          "ij,ij->i", state_representations, next_state_representations
      )
      # Minimize |\phi(s) \phi(s')|
      return jnp.mean(jnp.abs(dot_products))
  
file_path: dopamine/dopamine/labs/offline_rl/jax/offline_dr3_agent.py
imports: import functools
  from absl import logging
  from dopamine.jax import losses
  from dopamine.jax.agents.dqn import dqn_agent
  from dopamine.labs.offline_rl.jax import offline_dqn_agent
  from dopamine.metrics import statistics_instance
  import gin
  import jax
  import jax.numpy
  import numpy
  import optax
  import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: compute_dr3_loss(state_representations, next_state_representations) and returns: jnp